Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/62506
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dc.contributor.authorRashamol, V Pen
dc.contributor.authorSejian, Ven
dc.contributor.authorPragna, Pen
dc.contributor.authorLees, Angelaen
dc.contributor.authorBagath, Men
dc.contributor.authorKrishnan, Gen
dc.contributor.authorGaughan, J Ben
dc.date.accessioned2024-09-03T05:28:53Z-
dc.date.available2024-09-03T05:28:53Z-
dc.date.issued2019-
dc.identifier.citationInternational Journal of Biometeorology, v.63, p. 1265-1281en
dc.identifier.issn1432-1254en
dc.identifier.issn0020-7128en
dc.identifier.urihttps://hdl.handle.net/1959.11/62506-
dc.description.abstract<p>Livestock industries have an important role in ensuring global food security. This review discusses the importance of quantifying the heat stress response of ruminants, with an emphasis on identifying thermo-tolerant breeds. There are numerous heat stress prediction models that have attempted to quantify the response of ruminant livestock to hot climatic conditions. This review highlights the importance of investigating prediction models beyond the temperature-humidity index (THI). Furthermore, this review highlights the importance of incorporating other climatic variables when developing prediction indices to ensure the accurate prediction of heat stress in ruminants. Prediction models, particularly the heat load index (HLI) were developed to overcome the limitations of the THI by incorporating ambient temperature (AT), relative humidity (RH), solar radiation (SR) and wind speed (WS). Furthermore refinements to existing prediction models have been undertaken to account for the interactions between climatic variables and physiological traits of livestock. Specifically, studies have investigated the relationships between coat characteristics, respiration rate (RR), body temperature (BT), sweating rate, vasodilation, body weight (BW), body condition score (BCS), fatness and feed intake with climatic conditions. While advancements in prediction models have been occurring, there has also been substantial advancement in the methodologies used to quantify animal responses to heat stress. The most recent development in this field is the application of radio frequency identification (RFID) technology to record animal behaviour and various physiological responses. Rumen temperature measurements using rumen boluses and skin temperature recording using infrared thermography (IRT) are making inroads to redefine the quantification of the heat stress response of ruminants. Further, this review describes several advanced biotechnological tools that can be used to identify climate resilient breeds of ruminant livestock.</p>en
dc.languageenen
dc.publisherSpringeren
dc.relation.ispartofInternational Journal of Biometeorologyen
dc.titlePrediction models, assessment methodologies and biotechnological tools to quantify heat stress response in ruminant livestocken
dc.typeJournal Articleen
dc.identifier.doi10.1007/s00484-019-01735-9en
local.contributor.firstnameV Pen
local.contributor.firstnameVen
local.contributor.firstnamePen
local.contributor.firstnameAngelaen
local.contributor.firstnameMen
local.contributor.firstnameGen
local.contributor.firstnameJ Ben
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailalees4@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeGermanyen
local.format.startpage1265en
local.format.endpage1281en
local.peerreviewedYesen
local.identifier.volume63en
local.contributor.lastnameRashamolen
local.contributor.lastnameSejianen
local.contributor.lastnamePragnaen
local.contributor.lastnameLeesen
local.contributor.lastnameBagathen
local.contributor.lastnameKrishnanen
local.contributor.lastnameGaughanen
dc.identifier.staffune-id:alees4en
local.profile.orcid0000-0003-4898-2843en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
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local.identifier.unepublicationidune:1959.11/62506en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitlePrediction models, assessment methodologies and biotechnological tools to quantify heat stress response in ruminant livestocken
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorRashamol, V Pen
local.search.authorSejian, Ven
local.search.authorPragna, Pen
local.search.authorLees, Angelaen
local.search.authorBagath, Men
local.search.authorKrishnan, Gen
local.search.authorGaughan, J Ben
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2019en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/5dace9b0-df61-460f-869d-ab4ec3e9ec8cen
local.subject.for20203003 Animal productionen
local.subject.seo2020tbden
local.date.end2019-
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-09-03en
Appears in Collections:Journal Article
School of Environmental and Rural Science
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